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$ cat jobs/product-marketing-manager-autoscience-54b488610084.json

Product Marketing Manager

Autoscience·Worldwide·San Mateo·mid
mlai
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Company Description At Autoscience Institute, we create AI systems that autonomously conduct AI research. Recently, we announced the first AI agent to autonomously create peer-reviewed literature (ICLR 2025 Workshops). We are passionate about pushing the boundaries of artificial intelligence and contributing to groundbreaking advancements in the field. Role Description This is a full-time on-site role for a Product Marketing Manager located in the San Francisco Bay Area. The Product Marketing Manager will be responsible for developing product positioning, messaging, go-to-market strategy, and sales enablement materials for Autoscience’s AI research systems. The role involves close collaboration with our research, engineering, sales, and leadership teams to communicate the value of our automated research capabilities to customers, partners, candidates, and the broader AI community. Qualifications - Experience in product marketing, technical marketing, or go-to-market roles for AI, enterprise software, developer tools, or deep technology products - Demonstrable ability to translate complex technical products into clear and compelling positioning, messaging, and customer-facing materials - Strong writing and storytelling skills across product launches, website copy, sales collateral, case studies, blog posts, and executive communications - Experience developing go-to-market plans for new products, features, or market segments - Ability to work closely with technical teams, including researchers and engineers, to understand product capabilities and communicate differentiation - Strong customer and market research skills, including competitive analysis, customer interviews, and buyer persona development - Experience creating sales enablement materials such as pitch decks, one-pagers, battlecards, demo narratives, and objection-handling guides - Ability to work collaboratively in a team environment and with Agile methods - Experience with AI, machine learning, scientific

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